Centralized Server for Smart Home Sensor Data Integration
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Solution Overview
Problem
Conventional smart home software solutions lack effective communication and efficient data analysis between various sensors, leading to erroneous alerts and inadequate management of building condition data due to high volumes of data captured across different networks and computing infrastructures.
Innovation Solution
A centralized server system processes building condition data from multiple sensors, generating instructions to modify sensor behavior and provide accurate alerts by integrating data from various sensors, such as water flow and motion sensors, to manage building conditions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple sensors are deployed across different networks to monitor building conditions, then the quantity and coverage of data collection increases, but the complexity of data management and communication between sensors increases
Solution Approach 1:
The patent consolidates multiple sensor data streams from different networks into a centralized server system. The server aggregates building condition data from various sensors (water flow sensors, motion sensors, temperature sensors, etc.) and processes them together, enabling unified management of previously distributed data sources and reducing communication barriers between sensors.
Solution Approach 2:
The centralized server acts as an intermediary between multiple sensors and the user interface. It receives, processes, and coordinates data from various sensors across different networks, then generates appropriate notifications and control signals. This intermediary architecture simplifies data management by providing a single point of coordination rather than requiring direct peer-to-peer communication between all sensors.
2Ease of operation
If sensors operate independently on different networks, then device simplicity and ease of installation are maintained, but effective communication and coordinated response between sensors are limited
Solution Approach 1:
The centralized server provides universal functionality by handling multiple sensor types (water flow, motion, temperature, humidity) and multiple functions (data collection, analysis, notification generation, control signaling) through a single platform. This allows sensors to remain simple and easy to install while the server handles the complexity of integrated analysis and coordinated response.
Solution Approach 2:
The system implements feedback loops where the server continuously monitors sensor data, analyzes building conditions, and generates notifications or control signals based on analyzed patterns. This feedback mechanism enables coordinated sensor responses and accurate building condition analysis while maintaining sensor simplicity, as the intelligence is centralized in the server rather than distributed across individual sensors.
3Measurement precision
If a centralized server processes all building condition data, then data analysis accuracy and sensor coordination improve, but the time and computational resources required for processing increase
Solution Approach 1:
The server performs preliminary data processing and pattern recognition by analyzing sensor data streams continuously and preparing analysis results in advance. When specific building conditions are detected or thresholds are approached, the server has already processed and contextualized the relevant data, enabling faster response times without sacrificing analysis accuracy.
Solution Approach 2:
The server implements selective processing by focusing computational resources on specific sensors or data streams that require immediate attention or are most critical for current building conditions. Rather than processing all sensor data uniformly at maximum intensity, the system applies partial processing to less critical data while maintaining high-processing capacity for urgent matters, reducing overall processing time while preserving accuracy for critical analyses.
Data Source
AI summary
A computer device and method for managing multiple electronic sensors is provided where a server received building condition data from a first sensor and analyzes the received data; upon the received data satisfying a threshold, the server activates a second sensor and receives a second set of building condition data and analyzes the received second set of data; upon the second set of data satisfying a second threshold, the server may determine a possible problem with the building and notify the homeowner; the server may further take corrective actions such as terminate the water or the electric supply for the building.